干旱区生态环境知识资源中心(Arid): A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient

Arid

DOI	10.2166/nh.2020.132
	A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient
	Liang, Shumin; Greene, Richard
通讯作者	Liang, SM (corresponding author), Chinese Acad Agr Sci, Inst Agr Econ & Dev, Beijing 100081, Peoples R China.
来源期刊	HYDROLOGY RESEARCH
ISSN	1998-9563
EISSN	2224-7955
出版年	2020
卷号	51 期号:6 页码:1238-1260
英文摘要	This paper reviews 110 years of global runoff estimation. By employing the method of ordinary least square regression on a sample region's runoff coefficient, an empirical formula of a runoff coefficient is calculated for China. Based on this empirical formula applied with a high-resolution grid of precipitation, runoff is calculated resulting in an equally high-resolution map of global runoff using a geographic information system (GIS). The main results are (1) the global total runoff volume is 47,884 km(3), (2) the average runoff depth is 359 mm, (3) the interior drainage region's runoff volume is 1,663 km(3), and (4) the average runoff depth is 58.4 mm. The results are compared with the results of the existing literature on global runoff. This study emphasizes the importance of runoff and groundwater recharge in arid and semi-arid regions where the estimation value of runoff depth is significantly increased.
英文关键词	geographic information system global runoff high-resolution interior drainage runoff coefficient
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000600213800002
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348905
作者单位	[Liang, Shumin] Chinese Acad Agr Sci, Inst Agr Econ & Dev, Beijing 100081, Peoples R China; [Greene, Richard] Capital Normal Univ, Coll Geospatial Informat Sci & Technol, Beijing 100048, Peoples R China
推荐引用方式 GB/T 7714	Liang, Shumin,Greene, Richard. A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient[J],2020,51(6):1238-1260.
APA	Liang, Shumin,&Greene, Richard.(2020).A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient.HYDROLOGY RESEARCH,51(6),1238-1260.
MLA	Liang, Shumin,et al."A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient".HYDROLOGY RESEARCH 51.6(2020):1238-1260.